CFD Derived Results Lead to An Installation of An Overflow Technique in A Microreactor for Gas‐Phase Ethene Homo Polymerization

Mayrhofer, Leonhard; Krallis, Apostolos; Wurnitsch, Christof; Paulik, Christian

doi:10.1002/mren.201400031

Cited by 2 publications

(6 citation statements)

References 22 publications

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“…The hydrodynamics of reactor plays a critical role in determining the particles temperature and therefore polymerization rate. 54 In the PFM, the reactor hydrodynamics is taken into account by the relative gas-particle velocity. It is important to note that the relative gasparticle velocity in stirred bed reactors (SBRs) can be about 1 order of magnitude lower than the one in typical FBRs.…”

Section: Model Parametersmentioning

confidence: 99%

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Modeling Condensed Mode Operation for Ethylene Polymerization: Part III. Mass and Heat Transfer

Alizadeh

Sharif

Ebrahimi

et al. 2018

Ind. Eng. Chem. Res.

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The polymer flow model is employed to predict the transient behavior of the concentration and temperature profiles within the growing particles during gas-phase ethylene polymerization in the absence and presence of n-hexane as the induced condensing agent. It is demonstrated that by accurate estimation of the model parameters, one can precisely describe the impact of gas phase composition on the reaction rate. The simulation results show that the experimentally observed change in the polymerization rate under the various operating conditions is the direct result of alteration in the average concentration of ethylene in the particle; the average ethylene concentration not only depends on its equilibrium concentration but is also controlled by the significance of the mass transfer resistance through the growing particles. This is while the effect of partial pressure of n-hexane and ethylene on the thermal behavior of the particle is found to be insignificant for the studied experiments.

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Section: Model Parametersmentioning

confidence: 99%

“…The hydrodynamics of reactor plays a critical role in determining the particles temperature and therefore polymerization rate . In the PFM, the reactor hydrodynamics is taken into account by the relative gas-particle velocity.…”

Section: Model Parametersmentioning

confidence: 99%

Modeling Condensed Mode Operation for Ethylene Polymerization: Part III. Mass and Heat Transfer

Alizadeh

Sharif

Ebrahimi

et al. 2018

Ind. Eng. Chem. Res.

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show abstract

“…The authors also used CFD to develop a better operational protocol for polymerization to improve the previous polymerization result and gain a better understanding. 50 CFD was used to calculate the ethylene flow to remove the overheating issue of growing particles, and modifications were applied to the inlet, polymerization table, and exhaust (Figure 5C,D). It was hypothesized that having a higher flow of the gas, it could be possible to discharge the heat efficiently.…”

Section: Polymerization Reaction Development Through Real-time Analys...mentioning

confidence: 99%

Section: Microfluidics For Polyolefin Catalysismentioning

confidence: 99%

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Perspectives on Polyolefin Catalysis in Microfluidics for High-Throughput Screening: A Minireview

Sharma

Hartman

2022

Energy Fuels

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Polyolefins are the largest produced plastics in the world, wherein continuous stirred tank reactors and fluidized bed reactors are traditionally employed for commercial production. The operating condition, reaction kinetics, and molecular interactions inside the reactor strongly affect the polyolefin properties, which require a stringent process control in conventional procedures. Understanding the catalytic pathway, behavior of polymer particles, and effect of reactor conditions is essential for designing specific polymer properties, namely, the molecular weight, chain length, polydispersity, etc. Microfluidics can play a significant role in designing polymers tailored to the user needs. Smaller channel dimensions help obtain uniform reaction conditions over the length of the microfluidic reactor in a controlled environment. With real-time monitoring techniques in microfluidics, even single-particle growth of polymer can be studied to understand the parameters affecting the polymer properties. High-throughput microfluidics can help catalyst screening in a short duration with less consumption of reagents, generating less waste. When supplemented with efficient machine-learning algorithms, automated high-throughput microfluidics has the potential to rapidly optimize the process and facilitate the development of new knowledge even with a limited data set. When trained on data sets generated using microfluidic experiments that are designed efficiently with working knowledge of the process, machine-learning algorithms can provide the relationship between the multivariable parameters space and polymer properties, which is not possible with the traditional statistical methods and interpolation techniques. The rise in the utilization of microfluidics, with the advancement of machine-learning algorithms, for polyolefin catalysis, highlights the importance of microfluidics for catalyst discovery, parameter optimization, and understanding the reaction pathway for producing polymers with specific properties for specialized applications.

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CFD Derived Results Lead to An Installation of An Overflow Technique in A Microreactor for Gas‐Phase Ethene Homo Polymerization

Cited by 2 publications

References 22 publications

Modeling Condensed Mode Operation for Ethylene Polymerization: Part III. Mass and Heat Transfer

Modeling Condensed Mode Operation for Ethylene Polymerization: Part III. Mass and Heat Transfer

Perspectives on Polyolefin Catalysis in Microfluidics for High-Throughput Screening: A Minireview

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